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Proposal of Cost-Benefit Analysis for Advanced Rider Assistance System
( Saya Kishino ),( Joohyeong Lee ),( Keisuke Suzuki ) 한국감성과학회 2019 한국감성과학회 국제학술대회(ICES) Vol.2019 No.-
The purpose of this study is to propose an evaluation method of ARAS (Advanced Rider Assistance System). Many studies focused on accident-reduction effects, but few studies evaluate the balance between cost and benefit. Such researches can be used to investigate which system is better to be introduced to the market. In this study, we quantified the social usefulness of ARAS by using insurance data to convert the benefit due to the introduction of ARAS into money. We combined RS (Riding Simulator) experiments and computer simulation based on time-series reliability model and integrated error model for cost-benefit analysis. In our suggested cost-benefit analysis, we compared the reduction of human and material loss due to the introduction of ARAS as a social benefit with the cost required for the introduction of ARAS as a social cost. We can investigate whether ARAS is useful from the cost-benefit ratio. As a result, under the assumed conditions in this study, if the ARAS price is set at JPY 10,000, JPY 30,000, JPY 50,000, and JPY 70,000, the cost-benefit ratio for the tenth year will be 4.98, 1.66, 1.00, 0.71, respectively. We confirmed that we can evaluate social usefulness of ARAS using cost-benefit analysis.
A Position Detection Mechanism enabling Location-aware Pin&Play
Yasue Kishino,Tsutomu Terada,Nicolas Villar,Hans Gellersen,Shojiro Nishio 보안공학연구지원센터 2007 International Journal of Smart Home Vol.1 No.1
We propose a position detection mechanism enabling location-aware Pin&Play. Though the positions of inserted pins are important for most applications, it could not be detected in previous systems. The proposed method detects the positions of pins by processing images taken with a camera placed in front of the board. The proposed method has an error estimation mechanism to avoid the accumulation of position error. We also clarify the effectiveness of our proposed method through performance evaluations.
Saya Kishino,Joohyeong Lee,Ikumi Ozaki,Keisuke Suzuki,Masumi Nakajima 대한인간공학회 2018 대한인간공학회 학술대회논문집 Vol.2018 No.5
Objective: The purpose of this research is to analyze riders’ behavior and the reduction of traffic accidents when they are in a risk of traffic accident if the riders’ use a Human-Machine-Interface (HMI) system that presents effective information to prevent accidents. Background: In recent years, accidents of four-wheeled vehicles are decreasing, but accidents of motorcycle are still high, so we suggest an HMI system that presents effective information to prevent accidents to motorcycle riders. Method: We carried out experiments with three scenarios using a riding simulator. We analyzed 15 riders’ behavior when they are in risky situations for each 20 times (10 with the system and 10 without the system). We set up three scenarios which are supposed at intersections. First scenario is that other vehicle running on the different lane which cross the lane while an ego vehicle rider is running ignores a stop sign when the rider runs on the priority road. Second scenario is that other vehicle running on the opposite lane overlooks the rider of ego vehicle and turns right when the rider runs on the priority road. Third scenario is that the rider of ego vehicle ignores a stop sign when the rider runs on the non-priority road. Results: As a result, the reaction time to the initiation timing of the rider’s braking was shortened, and the average deceleration and time to collision between an ego vehicle and an oncoming vehicle increased when a rider was using HMI system. This means that the HMI system is effective to minimize the risk of accidents. This allowed motorcycle riders to quickly notice the existence of other vehicles. Because of this, the rider can slow down safely, and this system can reduce the risk.
Kim, Minji,Furuzono, Tomoya,Yamakuni, Kanae,Li, Yongjia,Kim, Young-Il,Takahashi, Haruya,Ohue-Kitano, Ryuji,Jheng, Huei-Fen,Takahashi, Nobuyuki,Kano, Yuriko,Yu, Rina,Kishino, Shigenobu,Ogawa, Jun,Uchid The Federation of American Societies for Experimen 2017 The FASEB Journal Vol.31 No.11
<P>Gutmicrobiota can regulate the host energymetabolism; however, the underlying mechanisms that could involve gut microbiota-derived compounds remain to be understood. Therefore, in this study, we investigated the effects ofKetoA [10-oxo-12(Z)-octadecenoic acid]-a linoleic acidmetaboliteproduced by gut lactic acid bacteria-on whole-body energy metabolism and found that dietary intake of KetoA could enhance energy expenditure in mice, thereby protecting mice from diet-induced obesity. By using Ca2+ imaging and whole-cell patch-clamp methods, KetoA was noted to potently activate transient receptor potential vanilloid 1 (TRPV1) and enhance noradrenalin turnover in adipose tissues. In addition, KetoA up-regulated genes that are related to brown adipocyte functions, including uncoupling protein 1 (UCP1) inwhite adipose tissue (WAT), whichwas later diminished in the presence of a b-adrenoreceptor blocker. By using obese and diabetic model KK-Ay mice, we further show that KetoA intake ameliorated obesity-associatedmetabolic disorders. In the absence of any observedKetoA-induced antiobesity effect or UCP1 up-regulation in TRPV1-deficient mice, we prove that the antiobesity effect of KetoAwas caused by TRPV1 activation-mediated browning inWAT. KetoA produced in the gut could therefore be involved in the regulation of host energy metabolism.-Kim, M., Furuzono, T., Yamakuni, K., Li, Y., Kim, Y.-I., Takahashi, H., Ohue-Kitano, R., Jheng, H.-F., Takahashi, N., Kano, Y., Yu, R., Kishino, S., Ogawa, J., Uchida, K., Yamazaki, J., Tominaga, M., Kawada, T., Goto, T. 10-oxo-12(Z)-octadecenoic acid, a linoleic acid metabolite produced by gut lactic acid bacteria, enhances energy metabolism by activation of TRPV1.</P>
( Joohyeong Lee ),( Saya Kishino ),( Keisuke Suzuki ) 한국감성과학회 2019 한국감성과학회 국제학술대회(ICES) Vol.2019 No.-
In recent years, ICT (Information and Communication Technologies) such as V2I (Vehicleto- Infrastructure), V2V (Vehicle-to-Vehicle) are being actively developed for driving safety systems across the world. In the future, ADAS (Advanced Driver Assistance System) using ICT and various kinds of sensors will be more implemented on PTW (Powered Two-wheeler) and introducing pace also will be accelerated. However, ADAS such as alarm systems can increase the level of mental stress of the four-wheeler drivers and it can be more critical for PTW riders. Therefore, we propose a method of quantifying the riding performance and mental stress level of PTW riders. In this study, we investigated the riders riding behaviors and mental stress using riding simulator (n = 7, mean age = 24.57). The riding performance was quantified as a single indicator, the mental stress level was assumed the normalized EDA signal when riders encountered a risky situation. As a result, the average mental stress level slightly increased when using the system, but there was no significant difference (t (20) = - 1.366, p=0.187). However, the riding performance improved when using the system (t (20) = -5.996, p<0.001).